Source codes for an integrated machine learning approach for real-time prediction, diagnostics and optimization of uranium-leaching groundwater system
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/AMHLSH
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资源简介：
The combined capabilities of a Joint Convolution and Recurrent Neural Network model, alongside a data-driven predictive model fused with the Expected Gradient algorithm, have revolutionized the accurate prediction and explainable diagnostics of uranium concentration in a uranium-leaching system with multiple wells.Further integration with optimization algorithm allows for real-time management of in-situ uranium leaching.
提供机构：
Harvard Dataverse
创建时间：
2024-08-21
